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Enabling Computer Vision Applications With the Data Lakehouse

December 17, 2021 by Paulo Borges, Bala Amavasai and Bryan Smith in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Tackle Unseen Quality, Operations and Safety Challenges With Lakehouse Enabled Computer Vision

November 30, 2021 by Bryan Smith and David LeGrand in
Globally, out-of-stocks cost retailers an estimated $1T in lost sales . An estimated 20% of these losses are due to phantom inventory, the...

Real-time Point-of-Sale Analytics With a Data Lakehouse

September 9, 2021 by Bryan Smith and Rob Saker in
Disruptions in the supply chain – from reduced product supply and diminished warehouse capacity – coupled with rapidly shifting consumer expectations for seamless...

Improving On-Shelf Availability for Items With AI Out of Stock Modeling

This post was written in collaboration with Databricks partner Tredence. We thank Rich Williams, Vice President Data Engineering, and Morgan Seybert, Chief Business...

How to Build a Scalable Wide and Deep Product Recommender

Download the notebooks referenced throughout this article. I have a favorite coffee shop I've been visiting for years. When I walk in, the...

Jump Start Your Data Projects with Pre-Built Solution Accelerators

June 2, 2021 by Hector Leano, Bryan Smith and Rob Saker in
Deliver value faster. We hear this theme in nearly every executive discussion with customers. Data teams and data leaders need to deliver value...

Machine Learning-based Item Matching for Retailers and Brands

May 24, 2021 by Luke Bilbro, Bryan Smith and Rob Saker in
Item matching is a core function in online marketplaces. To ensure an optimized customer experience, retailers compare new and updated product information against...

Building Forward-Looking Intelligence With External Data

This post was written in collaboration with the Foursquare data team. We thank co-author Javier Soliz, sales engineer specializing in data engineering and...

Fine-Grained Time Series Forecasting at Scale With Facebook Prophet and Apache Spark: Updated for Spark 3

Advances in time series forecasting are enabling retailers to generate more reliable demand forecasts. The challenge now is to produce these forecasts in...

Segmentation in the Age of Personalization

March 16, 2021 by Bryan Smith and Rob Saker in
Quick link to notebooks referenced through this post. Personalization is heralded as the gold standard of customer engagement. Organizations successfully personalizing their digital...